Integrated AI capabilities
- Document processing with AI OCR and image preprocessing
- Management and evaluation of prompts and RAG components, with content filtering
- Vector database operations, a generative AI portal, and agent orchestration
Cogniterm brings together document understanding, language models, and data protection to help enterprises and public institutions apply AI to everyday work.
We start with the work: the documents people use, the decisions they support, and the requirements that shape how systems are deployed and managed.
Five teams cover each stage of the work, from consulting and model development to platform engineering, product planning, and customer partnerships.
Define the use case, implementation roadmap, and evaluation criteria.
We analyze how work moves through your organization and propose an AI transformation (AX) strategy, from LLM fine-tuning to RAG design. We plan adoption roadmaps and governance, and run PoCs and pilots in clearly defined stages.
Develop and evaluate models for document recognition, classification, and domain-specific tasks.
We research and develop models that balance accuracy and cost. Training, tuning, quantization, and A/B testing help us improve capabilities such as OCR, contextual classification, and image recognition. Model cards and data sheets document how each model was built and evaluated.
Design the infrastructure, integrations, and operations needed to run AI systems.
Our architecture team and corporate R&D center build the platform behind our AI products. The work covers infrastructure for multi-cloud and on-premises environments, LLMOps, MLOps, and monitoring, along with agent orchestration and inference optimization.
Turn technical capabilities into products and workflows people can use.
We are responsible for productization, from product strategy and UX to pricing and packaging. Quality standards, test processes, and interface design start from the customer experience and continue after launch.
Connect customer requirements with the right solutions and delivery partners.
We lead sales, proposals, and partnerships. Working with customers in each industry, we gather feedback after deployment and use it to plan support and expansion.
We provide an AI environment designed to connect with your existing infrastructure.
Start with the services you need, then expand as your requirements grow.
Milestones in our product development and work with customers.
2026
2025
2021–2024
2021